• 수산경영론집
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• 제44권2호
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• pp.51-68
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• 2013

The objective of this study is to analyze how consumption value affects customer satisfaction toward eco-friendly seafood products. Moderating role of gender is also examined. For empirical validation of our model, data were collected from a cross-sectional survey of 307 consumers in the South Korea, who have bought a eco-friendly seafood, a representatives eco-friendly product. The results demonstrated several important findings. First, emotional consumption value, social consumption value and functional consumption value had significant positive effects on eco-friendly seafood product satisfaction, Second, interaction effect of social value and gender had a positive effect on satisfaction. Third, interaction effect of functional value and gender had a negative effect on satisfaction. Theoretical and managerial implications are suggested.

• 한국식품과학회지
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• 제37권4호
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• pp.685-694
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• 2005

Korean practices in tolerance setting of pesticide residues on food crops were compiled with an effort to harmonize with international standards. Based on scientific data including historical background, limit setting protocols, adoption of ADI values, food factors, nation's body weights, and regulatory margins which are required for the setting of maximum residue limits, necessary measures to be taken by Korean regulatory authorities were proposed.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.219-222
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• 2021

The study shed the light on the information required by Governance Principles and Corporate Social Responsibilities of human resources department from the point deans' perspectives of BA colleges during the discussion the publication of studies that academic members earlier submitted in many journals as authors of similar studies talking about business schools and CSR in Saudi Arabia universities. The study sample was the deans of business schools in northern border university and interviews were used to collect data. Findings showed that CSR in business colleges within an integrated set of research products in the human resource that he owns, support the mechanisms of social services from a purposeful pioneering and creative perspective. In addition, the success of business administration colleges in preparing these cadres depends on the college's senior leadership represented by its dean and its administrative policy to motivate academic staff and students to develop the CSR and governance.

• 수산경영론집
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• 제49권4호
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• pp.19-36
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• 2018

Overstock in aquaculture is a matter of concern in aquaculture management. To sort fish based on fingerling size in case of overstocking is an important problem in aquaculture farm. This study aims to determine the amount of fry overstock and sorting time in aquaculture farm. This study builds a mathematical model that finds the value of decision variables to optimize objective function summing up the fingerling purchasing cost, aquaculture farm operating cost and feeding cost under mortality and farming period constraints. The proposed mathematical model involves following biological and economical variables and coefficients: (1) number of fingerlings, (2) sorting time, (3) fish growth rate and variation, (4) mortality, (5) price of a fry (6) feeding cost, and (7) possible sorting periods. Numerical simulation is presented herein. The objective of numerical simulation is to provide decision makers to analyse and comprehend the proposed model. When extensive biological data about growth function of fry becomes available, the proposed model can be widely applicable to real aquaculture farms.

• 대기
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• 제25권1호
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• pp.67-83
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• 2015

Predicting the location and intensity of precipitation still remains a main issue in numerical weather prediction (NWP). Resolution is a very important component of precipitation forecasts in NWP. Compared with a lower resolution model, a higher resolution model can predict small scale (i.e., storm scale) precipitation and depict convection structures more precisely. In addition, an ensemble technique can be used to improve the precipitation forecast because it can estimate uncertainties associated with forecasts. Therefore, NWP using both a higher resolution model and ensemble technique is expected to represent inherent uncertainties of convective scale motion better and lead to improved forecasts. In this study, the limited area ensemble prediction system for the convective-scale (i.e., high resolution) operational Unified Model (UM) in Korea Meteorological Administration (KMA) was developed and evaluated for the ensemble forecasts during August 2012. The model domain covers the limited area over the Korean Peninsula. The high resolution limited area ensemble prediction system developed showed good skill in predicting precipitation, wind, and temperature at the surface as well as meteorological variables at 500 and 850 hPa. To investigate which combination of horizontal resolution and ensemble member is most skillful, the system was run with three different horizontal resolutions (1.5, 2, and 3 km) and ensemble members (8, 12, and 16), and the forecasts from the experiments were evaluated. To assess the quantitative precipitation forecast (QPF) skill of the system, the precipitation forecasts for two heavy rainfall cases during the study period were analyzed using the Fractions Skill Score (FSS) and Probability Matching (PM) method. The PM method was effective in representing the intensity of precipitation and the FSS was effective in verifying the precipitation forecast for the high resolution limited area ensemble prediction system in KMA.

• Environmental Engineering Research
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• 제15권2호
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• pp.123-126
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• 2010

Modeling non-point pollution across multiple scales has become an important environmental issue. As a more representative and practical approach in quantifying and qualifying surface water, a modular neural network (MNN) was implemented in this study. Two different site-scales ($1.5\;{\times}\;10^5$ and $1.62\;{\times}\;10^6\;m^2$) with the same plants, soils, and paddy field management practices, were selected. Hydrologic data (rainfall, irrigation and surface discharge) and water quality data (time-series nutrient loadings) were continuously monitored and then used for the verification of MNN performance. Correlation coefficients (R) for the results predicted from the networks versus measured values were within the range of 0.41 to 0.95. The small block could be extrapolated to the large field for the rainfall-surface drainage process. Nutrient prediction produced less favorable results due to the complex phenomena of nutrients in the drainage water. However, the feasibility of using MNN to generate improved prediction accuracy was demonstrated if more hydrologic and environmental data are provided. The study findings confirmed the estimation accuracy of the upscaling from a small-segment block to large-scale paddy field, thereby contributing to the establishment of water quality management for sustainable agriculture.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.278-281
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• 2006

Korea Meteorological Administration(KMA) has issued the tropical storm(typhoon) warning or advisories when it was developed to tropical storm from tropical depression and a typhoon is expected to influence the Korean peninsula and adjacent seas. Typhoon information includes current typhoon position and intensity. KMA has used the Dvorak Technique to analyze the center of typhoon and it's intensity by using available geostationary satellites' images such as GMS, GOES-9 and MTSAT-1R since 2001. The Dvorak technique is so subjective that the analysis results could be variable according to analysts. To reduce the subjective errors, QuikSCAT seawind data have been used with various analysis data including sea surface temperature from geostationary meteorological satellites, polar orbit satellites, and other observation data. On the other hand, there is an advantage of using the Subjective Dvorak Technique(SDT). SDT can get information about intensity and center of typhoon by using only infrared images of geostationary meteorology satellites. However, there has been a limitation to use the SDT on operational purpose because of lack of observation and information from polar orbit satellites such as SSM/I. Therefore, KMA has established Advanced Objective Dvorak Technique(AODT) system developed by UW/CIMSS(University of Wisconsin-Madison/Cooperative Institude for Meteorological Satellite Studies) to improve current typhoon analysis technique, and the performance has been tested since 2005. We have developed statistical relationships to correct AODT CI numbers according to the SDT CI numbers that have been presumed as truths of typhoons occurred in northwestern pacific ocean by using linear, nonlinear regressions, and neural network principal component analysis. In conclusion, the neural network nonlinear principal component analysis has fitted best to the SDT, and shown Root Mean Square Error(RMSE) 0.42 and coefficient of determination($R^2$) 0.91 by using MTSAT-1R satellite images of 2005. KMA has operated typhoon intensity analysis using SDT and AODT since 2006 and keep trying to correct CI numbers.

• 한국병원경영학회지
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• 제6권3호
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• pp.25-45
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• 2001

The purpose of this study was to evaluate the environments of patient care, education, and research as indicators of university hospital performance. The objective data for this study were collected by secondary data. The subjective data were collected by a total of 523 questionnaire survey interviews conducted in C university hospital, of which 123 were students, interns, or residents, 76 were professors, and the remaining 324 were patients. The major statistical methods used for the analysis were t-test and ANOVA. We found that the environment of patient care is better than the environment of education and research in C university hospital. While the concern for patient care of C university hospital was about 60%, the equivalent figures for education and research were both 20%. And the patients' satisfaction level was higher than the others. The environment of education and research was found to be deficient in some aspects, especially in such areas as facilities, equipment, and investment. In particular for professors the time for research was very limited because of the demands of patient care. These findings clearly demonstrate that university hospitals need to pay greater attention to the areas of education and research, as well as to patient care. This article concludes with a discussion and summary and presents issues in need of further study.

• 한국지역사회생활과학회지
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• 제26권4호
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• pp.647-659
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• 2015

This study analyzes current technologies in personal protective equipment (PPE) and mechanisms that can be used in the agricultural field to provide data for research and development on PPE for farmers. There is growing awareness of the importance of PPE as part of efforts to reduce agricultural accidents, but data remain rare for developing PPE tailored to the farm work environment. In this regard, patent data on PPE can provide useful insights for facilitating relevant technologies and research. This study examines patents and utility models classified under the IPC code in Korea and other countries to analyze patented technologies and recent trends for the period from January 2003 to October 2014. Here Korea, the U.S., Japan, and Europe were considered. The results show that the number of patent applications for PPE remained steady without any sharp fluctuations. KIPO applications accounted for 43.5% of all cases, reflecting the highest proportion among the countries considered. Domestic applicants accounted for 94% of all cases. In Korea, patent applications were concentrated in safety gear for the face and eyes, indicating a high level of technology. The highest level of competition was observed for safety goggles in all countries. Some PPE technologies were dominated by a particular manufacturer. The analysis results for farming-related technologies show the current state of technologies and areas lacking technological development. This study analyzes patented technologies for PPE in Korea and other countries and recent research trends as part of the effort to develop PPE for workers in the farming and livestock industry. This study represents an early-stage effort to develop PPE for workers in the farming and livestock industry, and the results are expected to be useful for tailoring PPE to Korea's farming and livestock environment.

• Journal of Pharmaceutical Investigation
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• 제28권4호
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• pp.223-229
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• 1998

A computer program for personal computers, $K-BEtest^{\circledR}$, was developed to analyze bioequivalence data in accordance with Korean Guidelines for Bioequivalence Test (KGBT). This program is user-friendly, interactive, Hangul-compatible and supports $2{\times}2$ cross-over design as well as $2{\times}2$ Latin square design with various significance levels. This program is able to calculate AUC, $C_{max}$ and $T_{max}$ parameters from the blood drug concentration-time profile of individual subjects and evaluate the parameters statistically for the bioequivalence by ${\pm}20%$ rule, the F-test, the Non-centrality test and 90% confidence intervals. All procedures are supported with graphic interface, interactive menu and outputs in Korean. In this paper, two experimental data sets were analyzed by the program and detailed process was demonstrated. The $K-BEtest^{\circledR}$ program appears to be very effective for analyzing bioequivalence data and can be widely used with convenience and accuracy.